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Kundl
City in Tyrol, Austria
Overview
Kundl is a charming small town in Tyrol, Austria, set between rolling hills and close to the scenic Inn River. It's known for its tranquil atmosphere, authentic alpine life, and easy access to outdoor adventures.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
4,762
Time Zone
Europe/Vienna
Coordinates
47.47°, 11.98°
Key Metrics
Safety Score · estimate
89
Female Safety
88
LGBTQ+ Safety
83
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$2,118
Local Cost
$1,400
Local Income
$2,300
Cashless
70
English
72
Temperature
5.7°C
Summer Avg
14.9°C
Winter Avg
-3.7°C
Record High
31.9°C
Record Low
-28.9°C
Humidity
84%
Precipitation
1333 mm
Internet Speed
51 Mbps
Upload
12 Mbps
Latency
20 ms
City Vibrancy
6
Coworking
0
Cafes
3
Nightlife
1
Parks
2
Transport
62
Walk Score
62
Footways
123.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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